Description
Job Summary:
We are seeking a senior technical professional to lead the development of a new LLM-based product, integrating AI into Trinks' core service offerings.
Key Highlights:
1. Lead the development of a generative AI (LLM) conversational system
2. Design a scalable and secure architecture with system integration
3. Implement RAG-based solutions focused on context and accuracy
**Description:**
Responsibilities of the Role
We seek a senior technical professional with hands-on experience in generative AI and software engineering to lead the development of a new product based on large language models (LLMs), integrating artificial intelligence into Trinks' core service offerings.
**Take a look at your role in this \#revolution:**
Lead and develop a generative AI (LLM) conversational system;
Design a scalable and secure architecture integrated with Trinks' systems;
Collaborate closely with Product, UX, Data, and Engineering teams;
Implement Retrieval-Augmented Generation (RAG) solutions focused on context and accuracy;
Define best practices for AI solution development, versioning, testing, and deployment;
Monitor model performance, cost, and security in production.
Requirements
**What you need for the perfect \#match:**
Proven experience in software engineering;
Practical experience with LLMs (OpenAI, Claude, Mistral, etc.);
Proficiency in Python (C\#/.NET experience is a plus);
Knowledge of LangChain, LlamaIndex, or similar frameworks;
Understanding of cloud architecture (AWS preferred);
Familiarity with asynchronous/event-driven systems (Kafka, SQS, etc.).
**Nice-to-have skills:**
Experience leading or developing projects involving generative AI and conversational agents.
Knowledge of prompt engineering, embeddings, vectors, and light fine-tuning.
Experience with hallucination control and security mechanisms for LLMs.
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